ML School Armenia
Powered by Yandex School of Data Analysis
Two years of deep immersion in ML — from fundamental math and classical models to neural networks, LLMs, and industry challenges.
Why choose us
Experts from YSDA, Yandex, and ACA
Academic depth from Yandex School of Data Analysis, industry expertise from Yandex, and international instructors from Armenian Code Academy.
From foundations to specialization
Everyone starts with the foundations: math for ML, classical ML, and algorithms. Then you choose your path: NLP, CV, GenAI, RL, and other areas in demand across the industry.
Certificates as proof of your progress
Over the two years, you can earn two certificates: from ML School Armenia x Armenian Code Academy after the first year, and from Yandex School of Data Analysis after the second. Together they make your progress in ML more visible to the professional community.
*The certificate from ML School Armenia x Armenian Code Academy (ACA) serves only as confirmation of participation and is not an educational credential.
Industrial weekends
Engineers from Yandex Armenia and other tech companies show you what usually stays behind the scenes: architecture, pipelines, and the trade-offs production systems demand.
Group of up to 30
One small-group format makes it easier to share ideas, ask questions, and talk directly with experts.
Free of charge
The program is free, but spots are limited — you can join after passing the selection process.
Who we’re looking for
The program is for technical university students and IT professionals who
want a deeper understanding
of ML and hands-on work with modern AI methods.
To pass the selection process you’ll need a foundation in linear algebra, calculus, probability, algorithms, and Python. Experience in ML, research, or olympiads is a plus.
Foundations, then the frontier
1
Curriculum
2
Industry Weekends
In short
First, you’ll build a strong foundation in math, algorithms, and classical ML. Then you’ll move on to deep learning, LLMs, GenAI, and other specializations. The advanced track covers CUDA, distributed training, and inference optimization.
In detail
- Foundation: math for ML, algorithms, Python, C++ or Rust, classical ML
- Deep learning: neural networks, transformers, generative models
- Specializations: NLP, CV, recommender systems, speech, RL
- Engineering track: CUDA, Go, distributed training, inference optimization
- Practice: project work, research, and industry tasks
Don’t spend time repeating what you already know
If ML and algorithms were part of your degree program, you can have them credited and start advanced courses.
How ML works in real products
Engineers from Yandex and other tech companies share examples from ML systems they’ve worked on — architecture, data pipelines, and some of the reasoning behind key design choices.
Highlights
2 years with top experts
From the core track to advanced areas — with experts from YSDA, Yandex, and leading technical universities.
20–30 hours per week
Sessions take place a few evenings a week; the rest of the time is spent
on independent work.
on independent work.
In person in Yerevan
Most sessions happen in person, so you can work through hard topics together and talk directly with experts.
Multilingual
We bring together leading industry experts with classes delivered in Armenian, English, or Russian. Proficiency in all three languages is recommended to get the most out of the program.
How the selection process works
Online application
August 24 — September 12, 2026
Check your Yandex ID — you’ll use it at every stage of selection and after the program starts. Once you submit your application, we’ll give you access to the testing platform.
Online testing
September 7–13, 2026
Before taking the test, review the instructions. The test includes eight math and algorithmic challenges. You’ll have two hours to complete each of them. We’ll email the results to the address in your application. Everyone who passes the test will be invited to the next stage.
Face-to-face interview
September 21–27, 2026
The interview takes place in Yerevan. We’ll email you the exact date and location after you pass the test.
Program start
October 5, 2026
FAQ
When do applications open?
Applications are open from August 24 to September 12, 2026.
Will I receive a certificate after completing the program?
Yes. At the end of the program, you’ll receive a certificate from ML School Armenia x Armenian Code Academy (ACA) and you can also receive a separate Yandex School of Data Analysis certificate.
What do I need to know for the selection process?
You’ll need a solid foundation in linear algebra, calculus, probability, and algorithms, along with strong Python skills.
Can I combine the program with university or work?
Yes, but keep the workload in mind: sessions run several evenings a week, and you’ll also need time for independent work. Plan for 20–30 hours per week.
How much does it cost to participate?
The program is free. Spots are limited — you can join after passing the selection process.
Still have questions?
Get in touch — we’ll be happy to help.
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